Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: ▷ (Apply Now) Senior Data Engineer( DWH).
India Jobs Expertini

Urgent! ▷ (Apply Now) Senior Data Engineer( DWH) Job Opening In India, India – Now Hiring Mastercard

▷ (Apply Now) Senior Data Engineer( DWH)



Job description

Title and Summary

Senior Data Engineer

Job Description Summary

Senior Data Engineer (DW)

Mastercard is a global technology company in the payments industry.

Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.

Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company.

With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

Mastercard is looking for a Senior Software Engineer to join the Account Level Management(ALM) team in our Pune office that’s focused on building ALM Services with Data warehouse skills.

The Mastercard Account Level Management platform empowers real-time card level decisioning.

As consumers progress along their life stages as card holders, with increasing disposable income and more refined preferences, ALM provides services to issuers so they can effectively offer more relevant benefits and rewards at each stage, to drive loyalty and spend.

• Role

o Develop high quality, secure and scalable data pipelines using spark, Scala/Python/Java on Hadoop or object storage like MinIO.

o Leverage technologies and solutions to innovate with increasingly large data sets.

o Drive automation and efficiency in Data ingestion, data movement and data access workflows by innovation and collaboration.

o Understand, implement and enforce Software development standards and engineering principles in the Big Data space.

o Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.

o Perform assigned tasks and production incident independently.

• Skill Requirements:

• MUST Technical

• 5-9 years of experience in Data Warehouse/Data Lake/Lake House related projects in product or service-based organization

• Expertise in Data Engineering and implementing multiple end-to-end DW projects in Big Data environment handling petabyte scale data.

• Solid Experience of building complex data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage

• Experience of working with Databases like Oracle, Netezza and have strong SQL knowledge.

• Proficient in working within an Agile/Scrum framework, including creating user stories with well-defined acceptance criteria, participating in sprint planning and reviews

• Write and maintain Unix shell scripts, Oracle SQL, PL/SQL, and perform SQL tuning.

• Optimize and troubleshoot Spark applications for performance, scalability, and fault tolerance

• Use Git-based version control systems and CI/CD pipelines (e.g., Jenkins).

• Implement and manage HIVE external tables, partitions, and various file formats.

• Work across on-premises and cloud environments (AWS, Azure, Databricks).

• Strong experience with Hadoop ecosystem and Cloudera Data Platform (CDP).

• Optional Technical

• Experience of building Nifi pipelines (Preferred)

• Strong analytical skills required for debugging production issues, providing root cause and implementing mitigation plan

• Strong communication skills - both verbal and written

• Ability to multi-task across multiple projects, interface with external / internal resources

• Proactive, detail-oriented and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results

• Willingness to quickly learn and implement new technologies, participate POC to explore best solution for the problem statement

• Experience working diverse and geographically distributed project teams

• Education:

• Bachelor’s degree in information systems, Information Technology, Computer Science or Engineering or equivalent work experience.


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Apply Now Potential: Insight & Career Growth Guide


  • Real-time Apply Now Jobs Trends in India, India (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Apply Now in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 8893 jobs in India and 3614 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Apply Now roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for ▷ (Apply Now) Senior Data Engineer( DWH) Job?

    Great news! is currently hiring and seeking a ▷ (Apply Now) Senior Data Engineer( DWH) to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Mastercard adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying India laws and regulations
  • What Is the Average Salary Range for ▷ (Apply Now) Senior Data Engineer( DWH) Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for ▷ (Apply Now) Senior Data Engineer( DWH)?

    Key qualifications for ▷ (Apply Now) Senior Data Engineer( DWH) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for ▷ (Apply Now) Senior Data Engineer( DWH)?

    To improve your chances of getting hired for ▷ (Apply Now) Senior Data Engineer( DWH), consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for ▷ (Apply Now) Senior Data Engineer( DWH) Job Success
    Mastercard interview tips for ▷ (Apply Now) Senior Data Engineer( DWH)

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the Mastercard's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your ▷ (Apply Now) Senior Data Engineer( DWH) interview at Mastercard, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Mastercard's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for ▷ (Apply Now) Senior Data Engineer( DWH) Positions

    Setting up job alerts for ▷ (Apply Now) Senior Data Engineer( DWH) is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!